diff options
author | Pablo Marquez Tello <pablo.tello@arm.com> | 2023-09-04 14:18:37 +0100 |
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committer | Pablo Marquez Tello <pablo.tello@arm.com> | 2023-09-08 12:32:25 +0000 |
commit | 3912f47b5849c2c7c4e68ff922869decf22fe303 (patch) | |
tree | 9292bf64b62a556661f2d0b6855365e3e3c295ea /src/cpu/kernels/meanstddevnorm/generic | |
parent | 45e5b5a4c6aa0e8dadf3c1d08031807eb0a1523b (diff) | |
download | ComputeLibrary-3912f47b5849c2c7c4e68ff922869decf22fe303.tar.gz |
Meanstddevnorm changes to enable fp16 in armv8a multi_isa builds
* Code guarded with __ARM_FEATURE_FP16_VECTOR_ARITHMETIC needs
to be moved to an fp16.cpp file to allow compilation with
-march=armv8.2-a+fp16
* Partially resolves MLCE-1102
Change-Id: I7e6d998e427982d4a037dbce6d17ca378665e07f
Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10241
Benchmark: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/cpu/kernels/meanstddevnorm/generic')
-rw-r--r-- | src/cpu/kernels/meanstddevnorm/generic/neon/fp16.cpp | 78 | ||||
-rw-r--r-- | src/cpu/kernels/meanstddevnorm/generic/neon/impl.cpp | 79 |
2 files changed, 78 insertions, 79 deletions
diff --git a/src/cpu/kernels/meanstddevnorm/generic/neon/fp16.cpp b/src/cpu/kernels/meanstddevnorm/generic/neon/fp16.cpp index 47bf64ae57..96e4030268 100644 --- a/src/cpu/kernels/meanstddevnorm/generic/neon/fp16.cpp +++ b/src/cpu/kernels/meanstddevnorm/generic/neon/fp16.cpp @@ -22,13 +22,89 @@ * SOFTWARE. */ #if defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) && defined(ENABLE_FP16_KERNELS) -#include "src/cpu/CpuTypes.h" + #include "src/cpu/kernels/meanstddevnorm/generic/neon/impl.h" +#include "src/core/NEON/wrapper/wrapper.h" +#include "src/cpu/CpuTypes.h" namespace arm_compute { namespace cpu { +template <> +void mean_stddev_normalization<float16_t, 8>(ITensor *input, ITensor *output, float epsilon, const Window &window) +{ + // Set build options + Window win = window; + win.set(Window::DimX, Window::Dimension(0, 1, 1)); + + const int window_step_x = 8; + const auto window_start_x = static_cast<int>(window.x().start()); + const auto window_end_x = static_cast<int>(window.x().end()); + + Iterator input_itr(input, win); + Iterator output_itr(output, win); + + execute_window_loop(win, [&](const Coordinates &) + { + int x = window_start_x; + auto in_ptr = reinterpret_cast<const float16_t *>(input_itr.ptr()); + auto out_ptr = reinterpret_cast<float16_t *>(output_itr.ptr()); + + float16x8_t sum_vec = vdupq_n_f16(static_cast<float16_t>(0.0f)); + float32x4_t sum_sq_vec = vdupq_n_f32(0.0f); + + for(; x <= (window_end_x - window_step_x); x += window_step_x) + { + float16x8_t data = vld1q_f16(in_ptr + x); + sum_vec = vaddq_f16(sum_vec, data); + float32x4_t dl = vcvt_f32_f16(vget_low_f16(data)); + float32x4_t dh = vcvt_f32_f16(vget_high_f16(data)); + sum_sq_vec = vaddq_f32(sum_sq_vec, vmulq_f32(dl, dl)); + sum_sq_vec = vaddq_f32(sum_sq_vec, vmulq_f32(dh, dh)); + } + + float16x4_t sum_carry_res = vpadd_f16(vget_high_f16(sum_vec), vget_low_f16(sum_vec)); + sum_carry_res = vpadd_f16(sum_carry_res, sum_carry_res); + sum_carry_res = vpadd_f16(sum_carry_res, sum_carry_res); + + float32x4_t sum_sq_carry_res = vpaddq_f32(sum_sq_vec, sum_sq_vec); + sum_sq_carry_res = vpaddq_f32(sum_sq_carry_res, sum_sq_carry_res); + + float16_t sum = vget_lane_f16(sum_carry_res, 0); + float sum_sq = vgetq_lane_f32(sum_sq_carry_res, 0); + + // Compute left-over elements + for(; x < window_end_x; ++x) + { + float16_t data = *(in_ptr + x); + sum += data; + float fdata = static_cast<float>(data); + sum_sq += fdata * fdata; + } + + float16_t mean = sum / input->info()->dimension(0); + float var = (sum_sq / input->info()->dimension(0)) - (mean * mean); + float16_t stddev_inv = static_cast<float16_t>(1.f / sqrt(var + epsilon)); + + float16x8_t mean_vec = vdupq_n_f16(mean); + float16x8_t stddev_inv_vec = vdupq_n_f16(stddev_inv); + + for(x = window_start_x; x <= (window_end_x - window_step_x); x += window_step_x) + { + float16x8_t data = vld1q_f16(in_ptr + x); + float16x8_t res = vmulq_f16(vsubq_f16(data, mean_vec), stddev_inv_vec); + // Store results + vst1q_f16(out_ptr + x, res); + } + for(; x < window_end_x; ++x) + { + *(out_ptr + x) = (*(in_ptr + x) - mean) * stddev_inv; + } + }, + input_itr, output_itr); +} + void neon_fp16_meanstddevnorm(ITensor *input, ITensor *output, float epsilon, const Window &window) { return mean_stddev_normalization<float16_t, 8>(input, output, epsilon, window); diff --git a/src/cpu/kernels/meanstddevnorm/generic/neon/impl.cpp b/src/cpu/kernels/meanstddevnorm/generic/neon/impl.cpp index 0d00acdd0c..0522d6e277 100644 --- a/src/cpu/kernels/meanstddevnorm/generic/neon/impl.cpp +++ b/src/cpu/kernels/meanstddevnorm/generic/neon/impl.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2019-2022 Arm Limited. + * Copyright (c) 2019-2023 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -101,82 +101,5 @@ void mean_stddev_normalization(ITensor *input, ITensor *output, float epsilon, c input_itr, output_itr); } template void mean_stddev_normalization<float, 4>(ITensor *input, ITensor *output, float epsilon, const Window &window); - -#if defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) && defined(ENABLE_FP16_KERNELS) -template <> -void mean_stddev_normalization<float16_t, 8>(ITensor *input, ITensor *output, float epsilon, const Window &window) -{ - // Set build options - Window win = window; - win.set(Window::DimX, Window::Dimension(0, 1, 1)); - - const int window_step_x = 8; - const auto window_start_x = static_cast<int>(window.x().start()); - const auto window_end_x = static_cast<int>(window.x().end()); - - Iterator input_itr(input, win); - Iterator output_itr(output, win); - - execute_window_loop(win, [&](const Coordinates &) - { - int x = window_start_x; - auto in_ptr = reinterpret_cast<const float16_t *>(input_itr.ptr()); - auto out_ptr = reinterpret_cast<float16_t *>(output_itr.ptr()); - - float16x8_t sum_vec = vdupq_n_f16(static_cast<float16_t>(0.0f)); - float32x4_t sum_sq_vec = vdupq_n_f32(0.0f); - - for(; x <= (window_end_x - window_step_x); x += window_step_x) - { - float16x8_t data = vld1q_f16(in_ptr + x); - sum_vec = vaddq_f16(sum_vec, data); - float32x4_t dl = vcvt_f32_f16(vget_low_f16(data)); - float32x4_t dh = vcvt_f32_f16(vget_high_f16(data)); - sum_sq_vec = vaddq_f32(sum_sq_vec, vmulq_f32(dl, dl)); - sum_sq_vec = vaddq_f32(sum_sq_vec, vmulq_f32(dh, dh)); - } - - float16x4_t sum_carry_res = vpadd_f16(vget_high_f16(sum_vec), vget_low_f16(sum_vec)); - sum_carry_res = vpadd_f16(sum_carry_res, sum_carry_res); - sum_carry_res = vpadd_f16(sum_carry_res, sum_carry_res); - - float32x4_t sum_sq_carry_res = vpaddq_f32(sum_sq_vec, sum_sq_vec); - sum_sq_carry_res = vpaddq_f32(sum_sq_carry_res, sum_sq_carry_res); - - float16_t sum = vget_lane_f16(sum_carry_res, 0); - float sum_sq = vgetq_lane_f32(sum_sq_carry_res, 0); - - // Compute left-over elements - for(; x < window_end_x; ++x) - { - float16_t data = *(in_ptr + x); - sum += data; - float fdata = static_cast<float>(data); - sum_sq += fdata * fdata; - } - - float16_t mean = sum / input->info()->dimension(0); - float var = (sum_sq / input->info()->dimension(0)) - (mean * mean); - float16_t stddev_inv = static_cast<float16_t>(1.f / sqrt(var + epsilon)); - - float16x8_t mean_vec = vdupq_n_f16(mean); - float16x8_t stddev_inv_vec = vdupq_n_f16(stddev_inv); - - for(x = window_start_x; x <= (window_end_x - window_step_x); x += window_step_x) - { - float16x8_t data = vld1q_f16(in_ptr + x); - float16x8_t res = vmulq_f16(vsubq_f16(data, mean_vec), stddev_inv_vec); - // Store results - vst1q_f16(out_ptr + x, res); - } - for(; x < window_end_x; ++x) - { - *(out_ptr + x) = (*(in_ptr + x) - mean) * stddev_inv; - } - }, - input_itr, output_itr); -} -#endif //defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) && defined(ENABLE_FP16_KERNELS) - } // namespace cpu } // namespace arm_compute |